SHAP Interaction values with Automated Predictive (APL) marc_daniau Product and Topic Expert 2023 Jun 23 3:42 PM 2 Kudos 982 SAP Managed Tags: Machine Learning, Python, SAP HANA We already covered SHAP-explained models for classification and regression scenarios in a previous APL ...
# plot the SHAP values for the Setosa output of all instancesshap.force_plot(explainer.expected_value[0],shap_values[0],X_test,link="logit") SHAP Interaction Values SHAP interaction values are a generalization of SHAP values to higher order interactions. Fast exact computation of pairwise inter...
# plot the SHAP values for the Setosa output of all instancesshap.force_plot(explainer.expected_value[0], shap_values[0], X_test, link="logit") SHAP Interaction Values SHAP interaction values are a generalization of SHAP values to higher order interactions. Fast exact computation of pairwise...
subsample_freq=1, subsample=0.8, random_state=SEED ) model_0.fit(X, y_binary) explainer_0 = TreeExplainer( model_0, feature_perturbation="tree_path_dependent", model_output="raw" ) explainer_0.shap_interaction_values(X)
3.6. Interaction effects of the key mVOCs on CVD SHAP interaction value analyses were used to analyze the interaction effects of age, hypertension, and ATCA levels with the largest SHAP values in the mVOCs component that had significant contributions in the RF model in the prediction of CVD ri...
Based on cooperative game theory, the interaction-based method of explanation (IME) is more suitable for complex interactions between variables and targets (Strumbelj and Kononenko2010). This is a clear characteristic of economic and financial research. The SHAP value (Lundberg and Lee2017) is a ...
Feature dependencies could be checked by interaction values (Fig.4f). When the interaction values of features do not clearly separate the two categories, there is no strong dependency between them (effective or ineffective). Measures of feature combination (such as polynomial features or FM of cros...
These values are readily interpretable, as each value is a feature's effect on the prediction, in its units. A SHAP value of 1000 here means "explained +$1,000 of predicted salary". SHAP values are computed in a way that attempts to isolate away of correlation and interaction, as well....
5). This effectiveness could be explained by its interaction with Xo (Fig. 4). SHAP analyses indicated that for U80 below 300 μm and Xo below ∼24%, the SHAP value was negative. In contrast, the SHAP value showed a positive effect for their higher values. This relationship can be ...
# plot the SHAP values for the Setosa output of all instances shap.force_plot(explainer.expected_value[0], shap_values[0], X_test, link="logit") SHAP Interaction Values SHAP interaction values are a generalization of SHAP values to higher order interactions. Fast exact computation of pairwise...